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2012.01932
Cited By

Teaching the Machine to Explain Itself using Domain Knowledge

Teaching the Machine to Explain Itself using Domain Knowledge

27 November 2020

Vladimir Balayan

Catarina Belém

ArXiv (abs)PDF HTML

Papers citing "Teaching the Machine to Explain Itself using Domain Knowledge"

6 / 6 papers shown

DiConStruct: Causal Concept-based Explanations through Black-Box
Distillation

DiConStruct: Causal Concept-based Explanations through Black-Box DistillationCLEaR (CLEaR), 2024

Ricardo Moreira

Mário A. T. Figueiredo

619

7

0

16 Jan 2024

Explanation-based Training with Differentiable Insertion/Deletion
Metric-aware Regularizers

Explanation-based Training with Differentiable Insertion/Deletion Metric-aware RegularizersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

322

2

0

19 Oct 2023

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

Going Beyond XAI: A Systematic Survey for Explanation-Guided LearningACM Computing Surveys (ACM CSUR), 2022

384

66

0

07 Dec 2022

Providing Error Detection for Deep Learning Image Classifiers Using
Self-Explainability

Providing Error Detection for Deep Learning Image Classifiers Using Self-Explainability

Azin Heidarshenas

403

0

0

15 Oct 2022

ConceptDistil: Model-Agnostic Distillation of Concept Explanations

ConceptDistil: Model-Agnostic Distillation of Concept Explanations

Joao Bento Sousa

Ricardo Moreira

Vladimir Balayan

121

4

0

07 May 2022

Explainable Machine Learning with Prior Knowledge: An Overview

Explainable Machine Learning with Prior Knowledge: An Overview

Katharina Beckh

Sebastian Müller

Matthias Jakobs

Vanessa Toborek

Raphael Fischer

Sebastian Houben

Laura von Rueden

340

32

0

21 May 2021

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